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CellSage is a cutting-edge software tool developed collaboratively by the Idaho National Laboratory and Ridgetop Group to model, simulate, and analyze battery health. With over 15 years of research, CellSage provides detailed insights into the aging processes of lithium-ion batteries under real-world conditions, combining data-driven, physics-based, and hybrid models for comprehensive analysis. Designed primarily for academic and industrial researchers, CellSage supports the development of robust battery systems across various applications such as electric vehicles and consumer electronics. Its suite of diagnostic and prognostic tools enables a deep dive into capacity fade and other critical parameters, facilitating the optimization of battery life and performance. Collaboration opportunities with industry leaders and academia allow for the integration of CellSage into Battery Management Systems and vehicle health monitoring systems, enhancing system reliability and extending battery longevity. This tool not only offers significant cost savings in R&D but also places users at the forefront of battery technology advancements.
The Advanced Electrolyte Model (AEM), developed by the Idaho National Laboratory and exclusively distributed by Ridgetop Group, is a state-of-the-art molecular simulation tool aimed at optimizing electrolyte chemistry. This software serves researchers as a comprehensive virtual laboratory, allowing them to explore and enhance genome-level electrolyte properties. AEM's capability to generate over 100 property metrics per run provides unparalleled insights into electrolyte behavior, which is crucial for advancing battery technologies. AEM revolutionizes the way researchers approach electrolyte chemistry by offering a detailed and thorough examination of molecular interactions. It acts as a powerful enabler for scientists seeking to uncover the subtle nuances of electrolyte behavior, aiding in the design of more efficient and robust energy storage systems. This innovative tool positions itself as an indispensable resource for battery scientists, delivering the precision and depth required to push the boundaries of current battery chemistries. Whether used for exploratory research or fine-tuning existing systems, AEM stands out as a pivotal component in the development of next-generation energy solutions.
Sentinel Motion for Rail is an innovative IoT-based sensor system tailored for the railroad industry, designed to monitor critical equipment by assessing various combinations of temperature, linear, and vibrational forces. Originally created for helicopter gearboxes, this system has been adapted for rail applications, providing a comprehensive solution for tracking, wheel, and bearing monitoring. The system integrates RotoSense smart sensors with the Sentinel Gateway communications device, allowing for continuous data acquisition and remote monitoring. Its ability to detect anomalies in track infrastructure and componentry makes it invaluable for rail operators looking to reduce maintenance costs and improve safety. Equipped with advanced analytics capabilities, Sentinel Motion for Rail empowers operators to conduct precise health assessments and generate automated alerts for emerging issues, thus supporting effective condition-based maintenance strategies. This sensor system stands out as a cost-effective solution capable of drastically reducing operation costs linked to rail maintenance by reliably predicting imminent failures.
The Adaptive Remaining Useful Life Estimator (ARULE) is a sophisticated prognostic tool designed to deliver key predictions such as Remaining Useful Life (RUL), State-of-Health (SoH), and Prognostic Horizon (PH) of complex systems. Supporting predictive maintenance, the software processes a range of condition-based feature data to preemptively warn maintenance personnel about potential system failures. ARULE incorporates advanced analytics, employing methods related to Extended Kalman Filtering (EKF) for accurate predictions, and is versatile enough to be applied across electrical, mechanical, and electromechanical domains. The software generates RUL, SoH, and PH estimates based on observed sensor data, ensuring timely maintenance and a reduction in unforeseen downtimes. Featured within Ridgetop's Sentinel Suite, ARULE functions as a core component in various applications, providing insight into performance and health management of power supply, battery management, gearbox systems, and more. Its interactive graphical user interface makes it accessible for users across industries, allowing for comprehensive condition-based system evaluations.
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